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Bhartiya Krishi Anusandhan Patrika
Print ISSN: 0303-3821
Online ISSN: 0976-4631
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Chief Editor:
Yashpal Singh Malik
ICAR-Indian Veterinary Research Institute (ICAR-IVRI)
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Research Article

Bhartiya Krishi Anusandhan Patrika, volume 34 issue 2 (june 2019) : 124-129

Introduction to Technology Forecasting and Assessment methods

Ramasubramanian V., Mir Asif Iquebal, Mrinmoy Ray, Sarika, R. S .Tomar
1ICAR-IASRI, New Delhi

  • Submitted04-07-2019|

  • Accepted08-08-2019|

  • First Online 12-10-2019|

  • doi 10.18805/BKAP167

Cite article:- V. Ramasubramanian, Iquebal Asif Mir, Ray Mrinmoy, Sarika, .Tomar S R. (2019). Introduction to Technology Forecasting and Assessment methods. Bhartiya Krishi Anusandhan Patrika. 34(2): 124-129. doi: 10.18805/BKAP167.

ABSTRACT

A technological forecast is a prediction of the future characteristics of useful machines, procedures or techniques. Owing to its importance, this article discusses Technology Forecasting (TF) starting from its various definitions, necessity, a short review on the existing work, more particularly in the field of agriculture. Thereafter, it proceeds to explain the different types of classifications under which the various Technology Forecasting methods can be categorised. It also gives a brief account on various technology assessment methods available in the literature.

KEYWORDS

REFERENCES

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  3. Jeeva, C., Ramasubramanian    V., Kumar, A., Bhatia, V.K., Geethalakshmi, V. and Premi, S.K. (2013). Forecasting technological needs and prioritizing factors for the post harvest sector of Indian Fisheries, Fishery Technology, 50 (1), 87-91 
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  6. Porter, A.L., Cunningham, S.W., Banks, J. and Roper, A.T. (2011), Forecasting and Management of Technology, Second Edition, John Wiley & Sons.
  7. Ramasubramanian V., Ananthan, P.S., Krishnan, M. and Vinay, A. (2017). Technology forecasting in fisheries sector: Cross impact analysis and substitution modeling , Journal of the Indian Society of Agricultural Statistics, accepted for publication, in print.
  8. Ramasubramanian, V., Kumar, A., Bishop, P., Ramasundaram, P. and Jeeva, C. J. (2015). Applications of quantitative techniques in technology forecasting: Some case studies, In: Statistics in Forestry: Methods and Applications, Ed. Chandra, G., Nautiyal, R., Chandra, H., 
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  10. Ramasubramanian, V., Kumar, A., Prabhu, K.V., Bhatia, V.K. and Ramasundaram, P. (2014). Forecasting technological needs and prioritizing factors in agriculture from plant breeding and genetics domain perspective: A review, Indian Journal of Agricultural Sciences. 84 (3): 311-316.
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  12. Ray, M., Rai, A., Singh, K.N., Ramasubramanian, V. and Kumar, A. (2017). Technology forecasting using time series intervention based trend impact analysis for wheat yield scenario in India, Technological Forecasting and Social Change, 118: 128-133.
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